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However, these models have been open to criticism as providing justification for discrimination against specific ethnic groups by law enforcement personnel. Whether this is statistically correct or a self-fulfilling correlation remains under debate. [8] Another example is the use of actuarial models to assess the risk of sex offense recidivism.
Asset/liability modeling is an approach to examining pension risks and allows the sponsor to set informed policies for funding, benefit design and asset allocation. Asset/liability modeling goes beyond the traditional, asset-only analysis of the asset-allocation decision.
Actuarial science – discipline that applies mathematical and statistical methods to assess risk in the insurance and finance industries. What type of thing is actuarial science? [ edit ]
Computers further revolutionized the actuarial profession. From pencil-and-paper to punchcards to microcomputers, the modeling and forecasting ability of the actuary has grown vastly. [46] Another modern development is the convergence of modern finance theory with actuarial science. [47]
Actuarial Models: 2005: Course 3 2006: Exams MFE and MLC 1: Mathematical Foundations of Actuarial Science: 2000: Education system redesign 2005: Exam P and VEE 2: Interest Theory, Economics and Finance: 2000: Education system redesign 2005: Exam FM and VEE 3: Actuarial Models: 2000: Education system redesign 2005: Exam M 4: Actuarial Modeling ...
Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. [1] This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project , or any other investment.
A stochastic model would be to set up a projection model which looks at a single policy, an entire portfolio or an entire company. But rather than setting investment returns according to their most likely estimate, for example, the model uses random variations to look at what investment conditions might be like.
In credibility theory, a branch of study in actuarial science, the Bühlmann model is a random effects model (or "variance components model" or hierarchical linear model) used to determine the appropriate premium for a group of insurance contracts. The model is named after Hans Bühlmann who first published a description in 1967.